One project can lead to endless possibilities. Cal State Fullerton student Austin Nguyen is enrolled in University Extension’s Accelerated M.S. in Applied Computer Science program. It aligned with his interests in computer science concepts, such as software engineering, as well as artificial intelligence and machine learning.
“I wanted to get involved since it would be a great way for me to gain hands-on industry experience and learn firsthand about developing live AI/ML systems,” said Nguyen.
One such project was Lightwall, an AI-driven kinetic art exhibit that opened at the California Center for the Arts on Jan. 14. The interactive installation was developed by artist Rita Sus, technologist Zach Rattner, and 15 Cal State Fullerton students to explore “perception, presence, and the evolving relationship between humans and responsive technologies.”
Nguyen sought this opportunity because he wanted to work on code that will be deployed live in the real world. He said the AMACS program prepared him with the applicable fundamentals.
“I learned about techniques to design effective software as well as the core knowledge behind machine learning, which both helped me a lot in making progress on the project.”
Nguyen enjoyed seeing and learning more about the process of developing hardware for the project. Collaborating across different disciplines, such as art and engineering, motivated him to pursue a career where he can “solve problems and develop meaningful software.”
“This project has influenced me to pursue work that challenges the realm of what is possible and leverages technology to improve outcomes,” said Nguyen.
In recommending the AMACS program, he advises students to pursue projects outside of the classroom.
“Working on a wide variety of hands-on projects can help you gain a better idea of what kind of work you enjoy, as well as gain useful experience that can be applied in future projects or work,” said Nguyen.
Learn more about University Extension’s Visit the University Extension website to learn more about the Accelerated M.S. in Applied Computer Science program.